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spaCy is a library for advanced Natural Language Processing in Python and
Cython. It's built on the very latest research, and was designed from day one to
be used in real products. spaCy comes with
[pretrained statistical models](https://spacy.io/models) and word vectors, and
currently supports tokenization for **60+ languages**. It features
be used in real products.
spaCy comes with
[pretrained pipelines](https://spacy.io/models) and vectors, and
currently supports tokenization for **59+ languages**. It features
state-of-the-art speed, convolutional **neural network models** for tagging,
parsing and **named entity recognition** and easy **deep learning** integration.
It's commercial open-source software, released under the MIT license.
parsing, **named entity recognition**, **text classification** and more, multi-task learning with pretrained **transformers** like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management.
spaCy is commercial open-source software, released under the MIT license.
💫 **Version 2.3 out now!**
[Check out the release notes here.](https://github.com/explosion/spaCy/releases)
[![Azure Pipelines](<https://img.shields.io/azure-devops/build/explosion-ai/public/8/master.svg?logo=azure-pipelines&style=flat-square&label=build+(3.x)>)](https://dev.azure.com/explosion-ai/public/_build?definitionId=8)
[![Azure Pipelines](https://img.shields.io/azure-devops/build/explosion-ai/public/8/master.svg?logo=azure-pipelines&style=flat-square&label=build)](https://dev.azure.com/explosion-ai/public/_build?definitionId=8)
[![Current Release Version](https://img.shields.io/github/release/explosion/spacy.svg?style=flat-square&logo=github)](https://github.com/explosion/spaCy/releases)
[![pypi Version](https://img.shields.io/pypi/v/spacy.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.org/project/spacy/)
[![conda Version](https://img.shields.io/conda/vn/conda-forge/spacy.svg?style=flat-square&logo=conda-forge&logoColor=white)](https://anaconda.org/conda-forge/spacy)
@ -31,7 +33,7 @@ It's commercial open-source software, released under the MIT license.
| --------------- | -------------------------------------------------------------- |
| [spaCy 101] | New to spaCy? Here's everything you need to know! |
| [Usage Guides] | How to use spaCy and its features. |
| [New in v2.3] | New features, backwards incompatibilities and migration guide. |
| [New in v3.0] | New features, backwards incompatibilities and migration guide. |
| [API Reference] | The detailed reference for spaCy's API. |
| [Models] | Download statistical language models for spaCy. |
| [Universe] | Libraries, extensions, demos, books and courses. |
@ -39,7 +41,7 @@ It's commercial open-source software, released under the MIT license.
| [Contribute] | How to contribute to the spaCy project and code base. |
[spacy 101]: https://spacy.io/usage/spacy-101
[new in v2.3]: https://spacy.io/usage/v2-3
[new in v3.0]: https://spacy.io/usage/v3
[usage guides]: https://spacy.io/usage/
[api reference]: https://spacy.io/api/
[models]: https://spacy.io/models
@ -56,34 +58,29 @@ be able to provide individual support via email. We also believe that help is
much more valuable if it's shared publicly, so that more people can benefit from
it.
| Type | Platforms |
| ------------------------ | ------------------------------------------------------ |
| 🚨 **Bug Reports** | [GitHub Issue Tracker] |
| 🎁 **Feature Requests** | [GitHub Issue Tracker] |
| 👩‍💻 **Usage Questions** | [Stack Overflow] · [Gitter Chat] · [Reddit User Group] |
| 🗯 **General Discussion** | [Gitter Chat] · [Reddit User Group] |
| Type | Platforms |
| ----------------------- | ---------------------- |
| 🚨 **Bug Reports** | [GitHub Issue Tracker] |
| 🎁 **Feature Requests** | [GitHub Issue Tracker] |
| 👩‍💻 **Usage Questions** | [Stack Overflow] |
[github issue tracker]: https://github.com/explosion/spaCy/issues
[stack overflow]: https://stackoverflow.com/questions/tagged/spacy
[gitter chat]: https://gitter.im/explosion/spaCy
[reddit user group]: https://www.reddit.com/r/spacynlp
## Features
- Non-destructive **tokenization**
- **Named entity** recognition
- Support for **50+ languages**
- pretrained [statistical models](https://spacy.io/models) and word vectors
- Support for **59+ languages**
- **Trained pipelines**
- Multi-task learning with pretrained **transformers** like BERT
- Pretrained **word vectors**
- State-of-the-art speed
- Easy **deep learning** integration
- Part-of-speech tagging
- Labelled dependency parsing
- Syntax-driven sentence segmentation
- Production-ready **training system**
- Linguistically-motivated **tokenization**
- Components for named **entity recognition**, part-of-speech-tagging, dependency parsing, sentence segmentation, **text classification**, lemmatization, morphological analysis, entity linking and more
- Easily extensible with **custom components** and attributes
- Support for custom models in **PyTorch**, **TensorFlow** and other frameworks
- Built in **visualizers** for syntax and NER
- Convenient string-to-hash mapping
- Export to numpy data arrays
- Efficient binary serialization
- Easy **model packaging** and deployment
- Easy **model packaging**, deployment and workflow management
- Robust, rigorously evaluated accuracy
📖 **For more details, see the
@ -102,13 +99,6 @@ For detailed installation instructions, see the
[pip]: https://pypi.org/project/spacy/
[conda]: https://anaconda.org/conda-forge/spacy
> ⚠️ **Important note for Python 3.8:** We can't yet ship pre-compiled binary
> wheels for spaCy that work on Python 3.8, as we're still waiting for our CI
> providers and other tooling to support it. This means that in order to run
> spaCy on Python 3.8, you'll need [a compiler installed](#source) and compile
> the library and its Cython dependencies locally. If this is causing problems
> for you, the easiest solution is to **use Python 3.7** in the meantime.
### pip
Using pip, spaCy releases are available as source packages and binary wheels (as
@ -164,26 +154,26 @@ If you've trained your own models, keep in mind that your training and runtime
inputs must match. After updating spaCy, we recommend **retraining your models**
with the new version.
📖 **For details on upgrading from spaCy 1.x to spaCy 2.x, see the
[migration guide](https://spacy.io/usage/v2#migrating).**
📖 **For details on upgrading from spaCy 2.x to spaCy 3.x, see the
[migration guide](https://spacy.io/usage/v3#migrating).**
## Download models
As of v1.7.0, models for spaCy can be installed as **Python packages**. This
Trained pipelines for spaCy can be installed as **Python packages**. This
means that they're a component of your application, just like any other module.
Models can be installed using spaCy's `download` command, or manually by
pointing pip to a path or URL.
| Documentation | |
| ---------------------- | ------------------------------------------------------------- |
| [Available Models] | Detailed model descriptions, accuracy figures and benchmarks. |
| [Models Documentation] | Detailed usage instructions. |
| Documentation | |
| ---------------------- | ---------------------------------------------------------------- |
| [Available Pipelines] | Detailed pipeline descriptions, accuracy figures and benchmarks. |
| [Models Documentation] | Detailed usage instructions. |
[available models]: https://spacy.io/models
[available pipelines]: https://spacy.io/models
[models documentation]: https://spacy.io/docs/usage/models
```bash
# download best-matching version of specific model for your spaCy installation
# Download best-matching version of specific model for your spaCy installation
python -m spacy download en_core_web_sm
# pip install .tar.gz archive from path or URL